Correct Answer : SVM layer
Explanation : Keras does not have an SVM layer. Instead, you can use a dense layer with a linear activation function to implement an SVM.
Correct Answer : SimpleRNN layer
Explanation : SimpleRNN layer is a fully connected layer whose output is sent back to the input.
Correct Answer : When there is the single layer within the model
Explanation : sequential.pop() method raises a TypeError When there is a single layer within the model.
Correct Answer : It helps in the removal of the last layer from the model.
Explanation : Sequential.pop() functions help in the removal of the last layer from the model.